test

test2

Object Detection

test2 Image Dataset

v18

2024-04-03 2:48pm

Generated on Apr 3, 2024

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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Dataset Split

Train Set 92%
18531Images
Valid Set 6%
1113Images
Test Set 3%
571Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 20% of images
Hue: Between -18° and +18°
Saturation: Between -29% and +29%
Brightness: Between -20% and +20%
Exposure: Between -14% and +14%
Blur: Up to 1.2px
Noise: Up to 0.62% of pixels